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After the server is running and the CLI is connected, submit a job with a model, an input file, and an SLO.

Prepare a prompt file

Use OpenAI-style batch JSONL where each line is one request payload. Keep the first test small so you can confirm the end-to-end flow quickly.
prompts.jsonl

Preview the placement

Submit the job

The command sends the workload to the Tandemn server. Tandemn then chooses an execution plan across the available accelerated resources.

What the arguments mean

  • Qwen/Qwen2.5-7B-Instruct is the model identifier.
  • prompts.jsonl is the batch input file.
  • --slo 4 is a four-hour deadline.

Monitor progress

Use a model that your Tandemn deployment is configured to run. If a model cannot be scheduled, ask your administrator which models are currently available.

If something fails

Start with the basics:
  • Run tandemn check.
  • Confirm TD_SERVER_URL points at the right server.
  • Confirm the JSONL file exists and is readable.
  • Confirm the model is available in your environment.
See Troubleshooting for more setup checks.